Overview of CheckThat! 2020 Arabic: Automatic Identification and Verification of Claims in Social Media
Date
2020Author
Hasanain, MaramHaouari, Fatima
Suwaileh, Reem
Ali, Zien Sheikh
Hamdan, Bayan
Elsayed, Tamer
Barrón-Cedeño, Alberto
da San Martino, Giovanni
Nakov, Preslav
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In this paper, we present an overview of the Arabic tasks of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured three Arabic tasks over social media (and the Web): Task 1 on check-worthiness estimation, Task 3 on evidence retrieval, and Task 4 on claim verification. For evaluation, we collected a dataset of Arabic tweets and Web pages consisting of 7.5K tweets and 14,742 Web pages. The systems in the ranking tasks (Task 1 and Task 3) were evaluated using precision at 30 (P@30) and precision at 10 (P@10), respectively. F1 was the official evaluation measure for Task 4. Eight teams submitted runs to the Arabic tasks, which is double the number of teams participating in the Arabic tasks of the CheckThat! lab at CLEF 2019. The most successful approach to Task 1 used an Arabic pre-trained language model, while text similarity measures and linguistic features were used in the other tasks. We release to the research community all datasets from the lab, which should enable further research on automatic claim verification in Arabic social media.
DOI/handle
http://hdl.handle.net/10576/52852Collections
- Computer Science & Engineering [2307 items ]